Roth Alexander, Schill Wolf-Peter
German Institute for Economic Research (DIW Berlin), Mohrenstraße 58, 10117 Berlin, Germany.
iScience. 2023 Jun 9;26(7):107074. doi: 10.1016/j.isci.2023.107074. eCollection 2023 Jul 21.
To reduce greenhouse gas emissions, many countries plan to massively expand wind power and solar photovoltaic capacities. These variable renewable energy sources require additional flexibility in the power sector. Both geographical balancing enabled by interconnection and electricity storage can provide such flexibility. In a 100% renewable energy scenario of 12 central European countries, we investigate how geographical balancing between countries reduces the need for electricity storage. Our principal contribution is to separate and quantify the different factors at play. Applying a capacity expansion model and a factorization method, we disentangle the effect of interconnection on optimal storage capacities through distinct factors: differences in countries' solar PV and wind power availability patterns, load profiles, as well as hydropower and bioenergy capacity portfolios. Results indicate that interconnection reduces storage needs by around 30% in contrast to a scenario without interconnection. Differences in wind power profiles between countries explain around 80% of that effect.
为减少温室气体排放,许多国家计划大规模扩大风能和太阳能光伏装机容量。这些可变可再生能源需要电力部门具备额外的灵活性。互联实现的地理平衡和电力存储都可以提供这种灵活性。在12个中欧国家的100%可再生能源情景下,我们研究了国家间的地理平衡如何减少电力存储需求。我们的主要贡献是分离并量化起作用的不同因素。应用容量扩展模型和分解方法,我们通过不同因素解开互联对最优存储容量的影响:各国太阳能光伏和风能可用性模式、负荷曲线以及水电和生物能源容量组合的差异。结果表明,与无互联情景相比,互联使存储需求减少了约30%。各国风电曲线的差异解释了该影响的约80%。